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Article ; Online: Development of bruchid pest and mungbean yellow mosaic virus disease resistance lines in blackgram [Vigna mungo (L.) Hepper] through marker- assisted selection

Subramaniyan, Ragul / Narayana, Manivannan

Physiological and Molecular Plant Pathology. 2023 July 12, p.102105-

2023 , Page(s) 102105–

Abstract: Bruchid beetles (Callosobruchus maculatus) and mungbean yellow mosaic virus (MYMV) disease are the two major causes of yield constraints in blackgram. Marker-assisted selection was performed among a population developed from the cross combinations of MDU ...

Abstract	Bruchid beetles (Callosobruchus maculatus) and mungbean yellow mosaic virus (MYMV) disease are the two major causes of yield constraints in blackgram. Marker-assisted selection was performed among a population developed from the cross combinations of MDU 1 (susceptible female parent) and the TU 68 (resistant male parent) to select for bruchid and MYMV disease resistance. The selected introgression lines (ILs) were significantly superior for bruchid and MYMV disease resistance traits. The introgression lines namely IL-9-1, IL-12-1, IL-12-2, IL-12-7, IL-12-9 and IL-12-10 recorded higher seed yield during the disease prevalent environment than the female parent MDU 1. But the yield performances were lower than the female parent MDU 1 in the disease-free environment. The reduced performance for yield might be due to the linkage drag among the introgression lines. Hence, the linkage drag can be eliminated by the backcross breeding method. However, the successful selection for dual biotic resistance was achieved among the introgression lines. Further, better recombinants must be isolated to obtain good yielding variety and bruchid and MYMV disease resistance.
Keywords	Callosobruchus maculatus ; Mungbean yellow mosaic virus ; Vigna mungo ; backcrossing ; black gram ; disease resistance ; females ; introgression ; males ; marker-assisted selection ; pests ; plant pathology ; seed yield ; Blackgram ; Mungbean yellow mosaic virus disease ; Quantitative trait loci
Language	English
Dates of publication	2023-0712
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Pre-press version
ZDB-ID	742470-x
ISSN	0885-5765
ISSN	0885-5765
DOI	10.1016/j.pmpp.2023.102105
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Individualised prediction of resilience and vulnerability to sleep loss using EEG features.

Subramaniyan, Manivannan / Hughes, John D / Doty, Tracy J / Killgore, William D S / Reifman, Jaques

Journal of sleep research

2024 , Page(s) e14220

Abstract: It is well established that individuals differ in their response to sleep loss. However, existing methods to predict an individual's sleep-loss phenotype are not scalable or involve effort-dependent neurobehavioural tests. To overcome these limitations, ... ...

Abstract	It is well established that individuals differ in their response to sleep loss. However, existing methods to predict an individual's sleep-loss phenotype are not scalable or involve effort-dependent neurobehavioural tests. To overcome these limitations, we sought to predict an individual's level of resilience or vulnerability to sleep loss using electroencephalographic (EEG) features obtained from routine night sleep. To this end, we retrospectively analysed five studies in which 96 healthy young adults (41 women) completed a laboratory baseline-sleep phase followed by a sleep-loss challenge. After classifying subjects into sleep-loss phenotypic groups, we extracted two EEG features from the first sleep cycle (median duration: 1.6 h), slow-wave activity (SWA) power and SWA rise rate, from four channels during the baseline nights. Using these data, we developed two sets of logistic regression classifiers (resilient versus not-resilient and vulnerable versus not-vulnerable) to predict the probability of sleep-loss resilience or vulnerability, respectively, and evaluated model performance using test datasets not used in model development. Consistently, the most predictive features came from the left cerebral hemisphere. For the resilient versus not-resilient classifiers, we obtained an average testing performance of 0.68 for the area under the receiver operating characteristic curve, 0.72 for accuracy, 0.50 for sensitivity, 0.84 for specificity, 0.61 for positive predictive value, and 3.59 for likelihood ratio. We obtained similar performance for the vulnerable versus not-vulnerable classifiers. These results indicate that logistic regression classifiers based on SWA power and SWA rise rate from routine night sleep can largely predict an individual's sleep-loss phenotype.
Language	English
Publishing date	2024-04-18
Publishing country	England
Document type	Journal Article
ZDB-ID	1122722-9
ISSN	1365-2869 ; 0962-1105
ISSN (online)	1365-2869
ISSN	0962-1105
DOI	10.1111/jsr.14220
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Article ; Online: Fear conditioning potentiates the hippocampal CA1 commissural pathway in vivo and increases awake phase sleep.

Subramaniyan, Manivannan / Manivannan, Sumithrra / Chelur, Vikas / Tsetsenis, Theodoros / Jiang, Evan / Dani, John A

Hippocampus

2021 Volume 31, Issue 10, Page(s) 1154–1175

Abstract: The hippocampus is essential for spatial learning and memory. To assess learning we used contextual fear conditioning (cFC), where animals learn to associate a place with aversive events like foot-shocks. Candidate memory mechanisms for cFC are long-term ...

Abstract	The hippocampus is essential for spatial learning and memory. To assess learning we used contextual fear conditioning (cFC), where animals learn to associate a place with aversive events like foot-shocks. Candidate memory mechanisms for cFC are long-term potentiation (LTP) and long-term depression (LTD), but there is little direct evidence of them operating in the hippocampus in vivo following cFC. Also, little is known about the behavioral state changes induced by cFC. To address these issues, we recorded local field potentials in freely behaving mice by stimulating in the left dorsal CA1 region and recording in the right dorsal CA1 region. Synaptic strength in the commissural pathway was monitored by measuring field excitatory postsynaptic potentials (fEPSPs) before and after cFC. After cFC, the commissural pathway's synaptic strength was potentiated. Although recordings occurred during the wake phase of the light/dark cycle, the mice slept more in the post-conditioning period than in the pre-conditioning period. Relative to awake periods, in non-rapid eye movement (NREM) sleep the fEPSPs were larger in both pre- and post-conditioning periods. We also found a significant negative correlation between the animal's speed and fEPSP size. Therefore, to avoid confounds in the fEFSP potentiation estimates, we controlled for speed-related and sleep-related fEPSP changes and still found that cFC induced long-term potentiation, but no significant long-term depression. Synaptic strength changes were not found in the control group that simply explored the fear-conditioning chamber, indicating that exploration of the novel place did not produce the measurable effects caused by cFC. These results show that following cFC, the CA1 commissural pathway is potentiated, likely contributing to the functional integration of the left and right hippocampi in fear memory consolidation. In addition, the cFC paradigm produces significant changes in an animal's behavioral state, which are observable as proximal changes in sleep patterns.
MeSH term(s)	Animals ; Fear ; Hippocampus ; Long-Term Potentiation ; Mice ; Sleep ; Wakefulness
Language	English
Publishing date	2021-08-21
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	1074352-2
ISSN	1098-1063 ; 1050-9631
ISSN (online)	1098-1063
ISSN	1050-9631
DOI	10.1002/hipo.23381
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Article ; Online: Novel and stable QTL regions conferring resistance to MYMV disease and its inheritance in blackgram (

Subramaniyan, Ragul / Narayana, Manivannan / Krishnamoorthy, Iyanar / Natarajan, Ganapathy / Gandhi, Karthikeyan

Journal of genetics

2022 Volume 101

Abstract: Mungbean yellow mosaic virus (MYMV) disease is a significant constraint for blackgram production. The present study employed a mapping population derived from a cross between susceptible (MDU 1) and resistant (TU 68) genotypes to identify quantitative ... ...

Abstract	Mungbean yellow mosaic virus (MYMV) disease is a significant constraint for blackgram production. The present study employed a mapping population derived from a cross between susceptible (MDU 1) and resistant (TU 68) genotypes to identify quantitative trait loci (QTL) associated with MYMV disease resistance in addition to bruchine resistance loci identified from the previous study. Phenotyping was carried out in F2 generation under the disease spreader row method at field condition. Disease score observations were carried out 60 days after sowing (DAS). The chi-square goodness of fit test revealed inhibitory gene action with two genes controlling the expression of resistance to MYMV disease. However, QTL analysis revealed one major QTL region, i.e.
MeSH term(s)	Disease Resistance/genetics ; Plant Breeding ; Plant Diseases/genetics ; Quantitative Trait Loci ; Vigna/genetics
Language	English
Publishing date	2022-02-24
Publishing country	India
Document type	Journal Article
ZDB-ID	3039-9
ISSN	0973-7731 ; 0958-8361 ; 0022-1333
ISSN (online)	0973-7731
ISSN	0958-8361 ; 0022-1333
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Article ; Online: Novel and stable QTL regions conferring resistance to MYMV disease and its inheritance in blackgram (Vigna mungo (L.) Hepper)

Subramaniyan, Ragul / Narayana, Manivannan / Krishnamoorthy, Iyanar / Natarajan, Ganapathy / Gandhi, Karthikeyan

J Genet. 2022 June, v. 101, no. 1 p.18-18

2022

Abstract	Mungbean yellow mosaic virus (MYMV) disease is a significant constraint for blackgram production. The present study employed a mapping population derived from a cross between susceptible (MDU 1) and resistant (TU 68) genotypes to identify quantitative trait loci (QTL) associated with MYMV disease resistance in addition to bruchine resistance loci identified from the previous study. Phenotyping was carried out in F₂ generation under the disease spreader row method at field condition. Disease score observations were carried out 60 days after sowing (DAS). The chi-square goodness of fit test revealed inhibitory gene action with two genes controlling the expression of resistance to MYMV disease. However, QTL analysis revealed one major QTL region, i.e. qMYMVD_60 at LG 10 responsible for MYMV disease score at 60 DAS, accounted for 21 per cent of variation. The identified QTL has the flanking markers as CEDG180 and CEDG116. Hence, the QTL, qMYMVD_60 may be utilized in the breeding of MYMV disease resistance. Further, the marker-assisted introgression of both the MYMV and bruchine resistance QTLs can be performed in the near future.
Keywords	Mungbean yellow mosaic virus ; Vigna mungo ; black gram ; disease resistance ; genes ; introgression ; phenotype ; quantitative traits
Language	English
Dates of publication	2022-06
Size	p. 18.
Publishing place	Springer India
Document type	Article ; Online
ZDB-ID	3039-9
ISSN	0973-7731 ; 0958-8361 ; 0022-1333
ISSN (online)	0973-7731
ISSN	0958-8361 ; 0022-1333
DOI	10.1007/s12041-022-01359-w
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Article ; Online: Electroencephalographic markers from routine sleep discriminate individuals who are vulnerable or resilient to sleep loss.

Subramaniyan, Manivannan / Wang, Chao / Laxminarayan, Srinivas / Vital-Lopez, Francisco G / Hughes, John D / Doty, Tracy J / Reifman, Jaques

Journal of sleep research

2023 , Page(s) e14060

Abstract: Sleep loss impairs cognition; however, individuals differ in their response to sleep loss. Current methods to identify an individual's vulnerability to sleep loss involve time-consuming sleep-loss challenges and neurobehavioural tests. Here, we sought to ...

Abstract	Sleep loss impairs cognition; however, individuals differ in their response to sleep loss. Current methods to identify an individual's vulnerability to sleep loss involve time-consuming sleep-loss challenges and neurobehavioural tests. Here, we sought to identify electroencephalographic markers of sleep-loss vulnerability obtained from routine night sleep. We retrospectively analysed four studies in which 50 healthy young adults (21 women) completed a laboratory baseline-sleep phase followed by a sleep-loss challenge. After classifying subjects as resilient or vulnerable to sleep loss, we extracted three electroencephalographic features from four channels during the baseline nights, evaluated the discriminatory power of these features using the first two studies (discovery), and assessed reproducibility of the results using the remaining two studies (reproducibility). In the discovery analysis, we found that, compared to resilient subjects, vulnerable subjects exhibited: (1) higher slow-wave activity power in channel O1 (p < 0.0042, corrected for multiple comparisons) and in channels O2 and C3 (p < 0.05, uncorrected); (2) higher slow-wave activity rise rate in channels O1 and O2 (p < 0.05, uncorrected); and (3) lower sleep spindle frequency in channels C3 and C4 (p < 0.05, uncorrected). Our reproducibility analysis confirmed the discovery results on slow-wave activity power and slow-wave activity rise rate, and for these two electroencephalographic features we observed consistent group-difference trends across all four channels in both analyses. The higher slow-wave activity power and slow-wave activity rise rate in vulnerable individuals suggest that they have a persistently higher sleep pressure under normal rested conditions.
Language	English
Publishing date	2023-10-06
Publishing country	England
Document type	Journal Article
ZDB-ID	1122722-9
ISSN	1365-2869 ; 0962-1105
ISSN (online)	1365-2869
ISSN	0962-1105
DOI	10.1111/jsr.14060
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Article: Mapping and mining of major genomic regions conferring resistance to Bruchine (Callosobruchus maculatus) in blackgram (Vigna mungo)

Subramaniyan, Ragul / Narayana, Manivannan / Krishnamoorthy, Iyanar / Natarajan, Ganapathy / Gandhi, Karthikeyan

Plant breeding. 2021 Oct., v. 140, no. 5

2021

Abstract: Storage pest bruchine is a major production limiting factor in blackgram. The present study was employed in a bi‐parental mapping population derived from a cross between susceptible (MDU 1) and resistant (TU68) genotypes. Phenotyping was carried out ... ...

Abstract	Storage pest bruchine is a major production limiting factor in blackgram. The present study was employed in a bi‐parental mapping population derived from a cross between susceptible (MDU 1) and resistant (TU68) genotypes. Phenotyping was carried out under an artificial bruchine screening procedure. QTL studies revealed three major QTLs responsible for the total number of adult emergence, percentage of seed damage and developmental time. The validation of identified QTLs was carried out on other mapping populations, namely, VBN 6 × TU 68 and VBN 8 × TU 68 through single marker analysis. It revealed that markers CEDG020 and CEDG302 can be used in the future bruchine resistance breeding programme. Genome mining on the QTL regions harbours several possible candidate genes related to defence response against herbivory insects, namely, serine/threonine protein kinase proteins, zinc finger family proteins, F‐box proteins, leucine‐rich repeats regions and some transcription factors and enzymes. The outcome of this study will be useful for bruchine resistance breeding programme.
Keywords	Callosobruchus maculatus ; Vigna mungo ; adults ; black gram ; phenotype ; seed damage ; serine ; storage pests ; threonine ; zinc finger motif
Language	English
Dates of publication	2021-10
Size	p. 896-906.
Publishing place	John Wiley & Sons, Ltd
Document type	Article
Note	JOURNAL ARTICLE
ZDB-ID	232853-7
ISSN	0179-9541
ISSN	0179-9541
DOI	10.1111/pbr.12959
Database	NAL-Catalogue (AGRICOLA)

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Article: Marker-assisted backcross breeding for enhancing Mungbean Yellow Mosaic Virus (MYMV) disease resistance in blackgram [Vigna mungo (L.) Hepper] cv MDU 1

Subramaniyan, Ragul / Kulanthaivel, Vadivel / Narayana, Manivannan / Angamuthu, Mahalingam / Kothandaraman, Satya Vijayalakshmi

Physiological and molecular plant pathology. 2021 Dec., v. 116

2021

Abstract: Mungbean yellow mosaic virus (MYMV) disease is the major disease of blackgram that affects crop growth and yield under severe epiphytotic conditions. Marker assisted backcross (MABC) breeding was employed to introgress the MYMV disease resistance ... ...

Abstract	Mungbean yellow mosaic virus (MYMV) disease is the major disease of blackgram that affects crop growth and yield under severe epiphytotic conditions. Marker assisted backcross (MABC) breeding was employed to introgress the MYMV disease resistance Quantitative Trait Loci (QTL) regions from resistant donor Mash 1008 into the popular blackgram variety MDU 1. The MABC approach was applied to introgress two major QTL on linkage groups 2 and 10 into elite line MDU 1. All F₁ were resistant to MYMV, so the resistance is dominant. After a series of two backcrosses and subsequent selfing, a total of 185 BC₂F₂ lines were obtained from the cross MDU1 x Mash 1008. Among them, three BC₂F₂ lines were identified with introgression of both QTL regions. A genome recovery of up to 63.80% was observed among these introgression lines. These introgressed lines were forwarded as single plants for further field evaluation. Finally, nine advanced backcross lines viz., BIL-4-47-1, BIL-4-47-3, BIL-4-47-4, BIL-4-47-5, BIL-4-47-7, BIL-4-47-8, BIL-4-47-9, BIL-4-47-10 and BIL-5-10-4 were found with significant superior performances over MDU1 for yield and MYMV disease resistance. These lines can be further evaluated in large scale trials to prepare their release as variety.
Keywords	Mungbean yellow mosaic virus ; Vigna mungo ; backcrossing ; black gram ; disease resistance ; genome ; introgression ; mash ; plant pathology ; quantitative traits ; selfing
Language	English
Dates of publication	2021-12
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	742470-x
ISSN	0885-5765
ISSN	0885-5765
DOI	10.1016/j.pmpp.2021.101732
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Distributed processing for value-based choice by prelimbic circuits targeting anterior-posterior dorsal striatal subregions in male mice

Kyuhyun Choi / Eugenio Piasini / Edgar Díaz-Hernández / Luigim Vargas Cifuentes / Nathan T. Henderson / Elizabeth N. Holly / Manivannan Subramaniyan / Charles R. Gerfen / Marc V. Fuccillo

Nature Communications, Vol 14, Iss 1, Pp 1-

2023 Volume 19

Abstract: The prelimbic region of the prefrontal cortex is involved in goal-directed action. Here the authors investigate the function of the prelimbic pathways projecting along the anterior posterior striatal axis in value based decision making in male mice. ...

Abstract	The prelimbic region of the prefrontal cortex is involved in goal-directed action. Here the authors investigate the function of the prelimbic pathways projecting along the anterior posterior striatal axis in value based decision making in male mice.
Keywords	Science ; Q
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Distributed processing for value-based choice by prelimbic circuits targeting anterior-posterior dorsal striatal subregions in male mice.

Choi, Kyuhyun / Piasini, Eugenio / Díaz-Hernández, Edgar / Cifuentes, Luigim Vargas / Henderson, Nathan T / Holly, Elizabeth N / Subramaniyan, Manivannan / Gerfen, Charles R / Fuccillo, Marc V

Nature communications

2023 Volume 14, Issue 1, Page(s) 1920

Abstract: Fronto-striatal circuits have been implicated in cognitive control of behavioral output for social and appetitive rewards. The functional diversity of prefrontal cortical populations is strongly dependent on their synaptic targets, with control of motor ... ...

Abstract	Fronto-striatal circuits have been implicated in cognitive control of behavioral output for social and appetitive rewards. The functional diversity of prefrontal cortical populations is strongly dependent on their synaptic targets, with control of motor output mediated by connectivity to dorsal striatum. Despite evidence for functional diversity along the anterior-posterior striatal axis, it is unclear how distinct fronto-striatal sub-circuits support value-based choice. Here we found segregated prefrontal populations defined by anterior/posterior dorsomedial striatal target. During a feedback-based 2-alternative choice task, single-photon imaging revealed circuit-specific representations of task-relevant information with prelimbic neurons targeting anterior DMS (PL::A-DMS) robustly modulated during choices and negative outcomes, while prelimbic neurons targeting posterior DMS (PL::P-DMS) encoded internal representations of value and positive outcomes contingent on prior choice. Consistent with this distributed coding, optogenetic inhibition of PL::A-DMS circuits strongly impacted choice monitoring and responses to negative outcomes while inhibition of PL::P-DMS impaired task engagement and strategies following positive outcomes. Together our data uncover PL populations engaged in distributed processing for value-based choice.
MeSH term(s)	Mice ; Male ; Animals ; Corpus Striatum/physiology ; Neostriatum ; Prefrontal Cortex/physiology ; Inhibition, Psychological
Language	English
Publishing date	2023-04-06
Publishing country	England
Document type	Journal Article ; Research Support, N.I.H., Intramural ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	2553671-0
ISSN	2041-1723 ; 2041-1723
ISSN (online)	2041-1723
ISSN	2041-1723
DOI	10.1038/s41467-023-36795-4
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